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Management of cataract in keratoconus: a case series

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Session Details

Session Title: Cataract Surgery Special Cases

Session Date/Time: Monday 09/10/2017 | 14:30-16:00

Paper Time: 15:24

Venue: Meeting Center Room I

First Author: : E.Jarade LEBANON

Co Author(s): :    K. Zaarour   M. Amro                 

Abstract Details

Purpose:

To report the outcome of our algorithm for the management of cataract in stable keratoconus eyes (or stable ectasia after LASIKI). A retrospective case series study

Setting:

Beirut Eye and ENT Specialist Hospital, Lebanon

Methods:

This study included all cataract surgeries in keratoconus eye between January 2010 and February 2017. According to our algorithm: Only eyes with history of good CDVA and astigmatic axis of refraction that coincides with the topographic axis were implanted with toric IOL; eyes with history of poor CDVA where treated first with single ICRS followed by cataract surgery and monofocal IOL implantation. Phakic IOL (PIOL) was used to treat ametropia after cataract surgery. Average K-reading of central 2.3 optical zone was used for IOL calculation after ICRS implantation (Jarade’s modified index of refraction method was used after LASIK ectasia).

Results:

Six eyes were implanted with monofocal IOL, 1 month post-operative CDVA was 0.10±0.20 logMAR, mean sphere of -1.66±1.32 D and cylinder of 1.12±0.60 D. 6 eyes were implanted with toric IOL; 1 month postoperative CDVA was 0.1±0.2 logMAR, mean sphere of -0.25±1.41 D and cylinder of 1.5±0.70 D. Six eyes (3 of them ectasia after LASIK) were operated with ICRS followed by implantation of monofocal IOL. CDVA was 0.10±0.14 logMAR with a sphere of -0.50±0.35 D and a cylinder of 1.87±1.59 D. Phakic IOL was implanted in 2 eyes

Conclusions:

Our algorithm for management of cataract in keratoconus has shown to be efficient and satisfactory in addressing ametropia and CDVA after surgery and our IOL power calculation method in keratrocnus eyes and ectasia after LASIK was relatively accurate as well. However, a larger population is needed to truly assess our algorithm’s reproducibility and to help improve its accuracy

Financial Disclosure:

NONE

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